Maciej J. Soja
- Environmental Engineering top 1%
- Aerospace Engineering top 2%
- Ecology top 10%
- Atmospheric Science top 10%
- Management, Monitoring, Policy and Law top 2%
- Co-authors
- Lars M. H. UlanderHenrik PerssonJohan E. S. FranssonJ. AskneStefano TebaldiniMaurizio SantoroS. QueganMauro Mariotti d’Alessandro
- Topics
- Synthetic Aperture Radar (SAR) Applications and Techniques (38 papers)Remote Sensing and LiDAR Applications (31 papers)Soil Moisture and Remote Sensing (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaRemote Sensing of EnvironmentIEEE Transactions on Geoscience and Remote Sensing
In The Last Decade
Maciej J. Soja
48 papers receiving 969 citations
Peers
Comparison fields: 5 of 52
- Environmental Engineering 748
- Aerospace Engineering 597
- Ecology 260
- Atmospheric Science 257
- Management, Monitoring, Policy and Law 217
Countries citing papers authored by Maciej J. Soja
This map shows the geographic impact of Maciej J. Soja's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Maciej J. Soja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maciej J. Soja more than expected).
Fields of papers citing papers by Maciej J. Soja
This network shows the impact of papers produced by Maciej J. Soja. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Maciej J. Soja. The network helps show where Maciej J. Soja may publish in the future.
Co-authorship network of co-authors of Maciej J. Soja
This figure shows the co-authorship network connecting the top 25 collaborators of Maciej J. Soja. A scholar is included among the top collaborators of Maciej J. Soja based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maciej J. Soja. Maciej J. Soja is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 10 | |
| 8 | 18 | |
| 9 | 3 | |
| 10 | 18 | |
| 11 | 20 | |
| 12 | 1 | |
| 13 | 38 | |
| 14 | 3 | |
| 15 | 57 | |
| 16 | 4 | |
| 17 | Borealscat: A tower experiment for understanding temporal changes in P- and L-band backscattering from a Boreal forest | 6 |
| 18 | 1 | |
| 19 | Two-Level Forest Model Inversion of Interferometric TanDEM-X Data | 4 |
| 20 | 76 |
About Maciej J. Soja
Maciej J. Soja is a scholar working on Environmental Engineering, Aerospace Engineering and Management, Monitoring, Policy and Law, having authored 50 papers that have together received 987 indexed citations. Recurring topics across this work include Synthetic Aperture Radar (SAR) Applications and Techniques (38 papers), Remote Sensing and LiDAR Applications (31 papers) and Soil Moisture and Remote Sensing (18 papers). The work is most often cited by research in Environmental Engineering (748 citations), Aerospace Engineering (597 citations) and Management, Monitoring, Policy and Law (217 citations). Maciej J. Soja has collaborated with scholars based in Sweden, Australia and Italy. Frequent co-authors include Lars M. H. Ulander, Henrik Persson, Johan E. S. Fransson, J. Askne, Stefano Tebaldini, Maurizio Santoro, S. Quegan, Mauro Mariotti d’Alessandro, Klaus Scipal and Leif E. B. Eriksson. Their work appears in journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.